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HIS
2004
15 years 2 months ago
Q'tron Neural Networks for Constraint Satisfaction
This paper proposes the methods to solve the constraint satisfaction problems (CSPs) using Q'tron neural networks (NNs). A Q'tron NN is local-minima free if it is built ...
Tai-Wen Yue, Mei-Ching Chen
CIE
2007
Springer
15 years 7 months ago
Computational Complexity of Constraint Satisfaction
Abstract. The input to a constraint satisfaction problem (CSP) consists of a set of variables, each with a domain, and constraints between these variables formulated by relations o...
Heribert Vollmer
ESA
2006
Springer
113views Algorithms» more  ESA 2006»
15 years 4 months ago
An LP-Designed Algorithm for Constraint Satisfaction
The class Max (r, 2)-CSP consists of constraint satisfaction problems with at most two r-valued variables per clause. For instances with n variables and m binary clauses, we presen...
Alexander D. Scott, Gregory B. Sorkin
ECCC
2006
145views more  ECCC 2006»
15 years 25 days ago
Constraint satisfaction: a personal perspective
Attempts at classifying computational problems as polynomial time solvable, NP-complete, or belonging to a higher level in the polynomial hierarchy, face the difficulty of undecid...
Tomás Feder
IBERAMIA
2004
Springer
15 years 6 months ago
Constrainedness and Redundancy by Constraint Ordering
Abstract. In constraint satisfaction, a general rule is to tackle the hardest part of a search problem first. In this paper, we introduce a parameter (τ) that measures the constr...
Miguel A. Salido, Federico Barber